Exploring Nips Spotlight Session 1 Optimization Spotlights
Let's dive into the details surrounding Nips Spotlight Session 1 Optimization Spotlights.
- J. Mairal, P. Koniusz, Z. Harchaoui, C. Schmid Convolutional Kernel Networks B. Zhou, A. Lapedriza, J. Xiao, A. Torralba, A. Oliva ...
- M. Irfan, L. Ortiz Causal Strategic Inference in Networked Microfinance Economies D. Eigen, C. Puhrsch, R. Fergus Depth Map ...
- NIPS
- S. Nie, D. Maua, C. de Campos, Q. Ji Advances in Learning Bayesian Networks of Bounded Treewidth J. Tristan, D. Huang, ...
- Poster
In-Depth Information on Nips Spotlight Session 1 Optimization Spotlights
W. Su, S. Boyd, E. Candes A Differential Equation for Modeling NesterovΓÇÖs Accelerated Gradient Method: Theory and Insights ... Poster C. Zhang, K. Chaudhuri Beyond Disagreement-Based Agnostic Active Learning A. Sani, G. Neu, A. Lazaric Exploiting easy data in ... B. Piot, M. Geist, O. Pietquin Difference of Convex Functions Programming for Reinforcement Learning S. Levine, P. Abbeel ...
M. Lopes A Residual Bootstrap for High-Dimensional Regression with Near Low-Rank Designs B. McWilliams, G. Krummenacher, ...
That wraps up our extensive overview of Nips Spotlight Session 1 Optimization Spotlights.
